Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation
Abstract: Recent advances in GPU-based parallel simulation have enabled practitioners to collect large amounts of data and train complex control policies using deep reinforcement learning (RL), on commodity GPUs. However, such successes for RL in robotics have been limited to tasks sufficiently simulated by fast rigid-body dynamics. Simulation techniques for soft bodies are comparatively several [...]
Is Data All You Need?: Large Robot Action Models and Good Old Fashioned Engineering
Abstract: Enthusiasm has been skyrocketing for humanoids based on recent advances in "end-to-end" large robot action models. Initial results are promising, and several collaborative efforts are underway to collect the needed demonstration data. But is data really all you need? Although end-to-end Large Vision, Language, Action (VLA) Models have potential to generalize and reliably solve [...]
Informative Path Planning Toward Autonomous Real-World Applications
Abstract: Gathering information from the physical world is critical for applications such as scientific research, environmental monitoring, search and rescue, defense, and disaster response. Autonomous robots provide significant advantages for information gathering, particularly in situations where human access is constrained, hazardous, or impractical. By leveraging intelligent algorithms, these robots can efficiently collect data, enhancing decision-making [...]
The New Era of Video Generation
Abstract: Traditional video production is slow, expensive, and requires specialized skills. Founded by CMU alumni, HeyGen is an AI-native video platform designed to revolutionize the video creation process by making visual storytelling accessible to all. We've successfully grown to more than 20M users, and tens of millions revenue in less than one year, with recognition [...]
RI Seminar with Nima Fazeli
RI Seminar with Nikolay Atanasov
Physical Intelligence and Cognitive Biases Toward AI
Abstract: When will robots be able to clean my house, dishes, and take care of laundry? While we source labor primarily from automated machines in factories, the penetration of physical robots in our daily lives has been slow. What are the challenges in realizing these intelligent machines capable of human level skill? Isn’t AI advanced [...]
Robotics Institute Semi-formal
Hello all Robotics Institute faculty, students, visitors and staff, You and a guest are cordially invited to attend The Robotics Institute Semi-formal
RI Seminar with Charlie Kemp
Robotics Institute Picnic
Please mark your calendars and plan to join us for the 2025 Robotics Institute Picnic! More information and RSVP e-vite to follow as we get closer to the event.